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Four Statistical Approaches for Multisensor Data Fusion under Non-Gaussian Noise

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4 Author(s)
Wangqiang Niu ; Marine Technol. & Control Eng. Key Lab. of Minist. of Commun., Shanghai Maritime Univ., Shanghai, China ; Jin Zhu ; Wei Gu ; Jianxin Chu

Multisensor data fusion methods for Gaussian noise are widely reported, while fusion approaches for non-Gaussian noise are seldom met in the literature. In this study, four statistical fusion methods are presented for a mixture of Gaussians noise. These four methods are the minimum variance approach, the maximum kurtosis approach, the minimum kurtosis approach, and the minimum mean absolute error approach. Preliminary numerical simulations demonstrate that the maximum kurtosis method shows the worst fusion performance, while the rest three methods shows equivalent better fusion performance.

Published in:

Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on

Date of Conference:

11-12 July 2009